1st UCL-Duke University Workshop on Sensing and Analysis of High-Dimensional Data (SAHD), London 2014

1st UCL-Duke University Workshop on Sensing and Analysis of High-Dimensional Data (SAHD), London 2014

14 Videos · Sep 4, 2014

About

The first UCL-Duke University Workshop on Sensing and Analysis of High-Dimensional Data, which acts as the European counterpart of the Biannual Duke University SAHD Workshop, aims to bring together leading researchers in the general fields of mathematics, statistics, computer science and engineering that work at the intersection of computational statistics, machine learning, signal processing, information and learning theory, and computer science, with the goal to advance the field of sensing, analysis and processing of high-dimensional data.

Videos

Keynote

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01:07:18

The Unreasonable Effectivness Of Deep Learning

Yann LeCun

Oct 29, 2014

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41070 views

Invited Talks

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27:04

Breaking the coherence barrier - A new theory for compressed sensing

Anders Hansen

Oct 29, 2014

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2755 views

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24:40

Mondrian forests: Efficient random forests for streaming data via Bayesian nonpa...

Yee Whye Teh

Oct 29, 2014

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8644 views

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31:50

High-dimensional learning with deep network contractions

Oct 29, 2014

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10514 views

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32:11

Building an automatic statistician

Zoubin Ghahramani

Oct 29, 2014

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4233 views

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28:23

Beyond stochastic gradient descent for large-scale machine learning

Francis R. Bach

Oct 29, 2014

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7711 views

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31:05

Deep Gaussian processes

Neil D. Lawrence

Oct 29, 2014

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4639 views

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29:39

Optimal compressive imaging for Fourier data

Gitta Kutyniok

Oct 29, 2014

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2872 views

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28:00

Tracking dynamic point processes on networks

Rebecca Willett

Oct 29, 2014

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2256 views

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26:27

Conjugate gradient iterative hard thresholding for compressed sensing and matrix...

Jared Tanner

Oct 29, 2014

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2438 views

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29:19

Living on the edge: Phase transitions in convex programs with random data

Joel Tropp

Oct 29, 2014

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2677 views

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26:24

Visual pattern encoding on the Poincaré sphere

Aleksandra Pizurica

Oct 29, 2014

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2454 views

Panel

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01:02:35

Big Data - Challenges and Opportunities

Oct 29, 2014

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2854 views

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05:31

Welcome

Oct 29, 2014

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3014 views